SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs

Sep 13, 2026·
Jianke Yu
Jianke Yu
,
Hanchen Wang
,
Chen Chen
,
Xiaoyang Wang
,
Wenjie Zhang
,
Ying Zhang
,
Xijuan Liu
· 1 min read
CCF-A CAS Zone 1 Top JCR Q1
Type
Publication
IEEE Transactions on Knowledge and Data Engineering
Status
Peer-reviewed
Awards
CCF-A
IEEE Transactions on Knowledge and Data Engineering · 2026
CAS Zone 1 Top
IEEE Transactions on Knowledge and Data Engineering · 2026
JCR Q1
IEEE Transactions on Knowledge and Data Engineering · 2026
publications

IEEE Transactions on Knowledge and Data Engineering, 2026

Jianke Yu
Authors
Jianke Yu (he/him)
PhD (2026) in Graph Machine Learning & Databases
I completed my PhD at the University of Technology Sydney (UTS) in 2026, supervised by Prof. Ying Zhang, A/Prof. Lu Qin and Dr Hanchen Wang. My research develops machine learning algorithms for graph-structured data and database systems — graph neural network architectures, and learning-based methods that improve database and data-mining algorithms (fraud detection, graph similarity, supergraph search, malware detection). My work has appeared in KDD and IEEE TKDE. I am joining Zhejiang Gongshang University as a faculty member in 2027.